AI for Legal Research: Why Data Matters

Level: Advanced
Runtime: 63 minutes
Recorded Date: January 30, 2018
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3:15 - 4:15 pm
  • AI vs Machine Learning vs Deep Learning
  • What AI can (and can't) do?
  • AI Ecosystem
  • Using legal research as a competitive advantage
  • Natural Langauge Searching
  • Supervised Machine Learning
  • Discerning patterns in a data set
  • Entity extraction
Runtime: 1 hour
Recorded: January 30, 2018


All Artificial Intelligence applications start with data. AI for law requires a combination of domain expertise, annotated content, and technical expertise – you can’t simply throw AI at legal data and expect good results. This session will explore the types of data that go into AI systems, and how AI expertise needs to be married to legal domain expertise to make them work. It will also explore the ways researchers can maximize the AI features that are already built into legal research products.

This program was recorded as part of LegalTech on January 30th, 2018.

Provided By



Carlos Gamez

Sr. Director of Innovation, Legal
Thomas Reuters

Carlos is the Senior Director of Innovation for Thomson Reuters’ Legal Business. In his role, he partners with different people inside and outside of the enterprise to define the innovation strategy, and to execute innovation priorities through strategic projects with the potential to drive organic growth. Projects include: running ideation and innovation campaigns and challenges, defining and funding collaborative research opportunities, advising on and performing proof of concepts, and developing and leveraging relationships for co-creation with customers and industry partners.

Carlos joined Thomson Reuters under its leadership development program where he performed roles across Strategy and Product Strategy. After the program, he served as the Chief of Staff to the General Counsel and as the lead for legal department operations. Later, he was also part of the Corporate Development group, where he led the evaluation and execution of acquisitions of companies. Prior to joining Thomson Reuters, he worked with start-ups in different capacities in Silicon Valley.

Before that, he practiced intellectual property law in one of Mexico’s leading law firms. Carlos has a Bachelors in Law (LL.B.) from the Facultad Libre de Derecho de Monterrrey (Mexico), and obtained an LL.M. at Stanford Law School and an MBA at the MIT Sloan School of Management.

Don MacLeod

Manager, Knowledge Management
Debevoise & Plimption

Don MacLeod is the Manager of Knowledge Management at Debevoise & Plimpton.

Tonya Custis

Director, Research, Technology & Ops
Thomas Reuters

Tonya Custis is a Research Director at Thomson Reuters where she leads a team of Research Scientists performing applied research in Artificial Intelligence technologies. Thomson Reuters is a Platinum Partner in Canada’s Vector Institute for Artificial Intelligence and is in the process of growing TR’s Toronto-based Centre for Cognitive Computing AI research group to 100 people by 2018.

Tonya’s diverse academic background – a Ph.D. & M.A. in Linguistics, an M.S. in Computer Science, and a B.A. in Music – has shaped her research interests, which primarily include natural language processing, machine learning, and information retrieval. She is currently leading projects that explore Question Answering and Natural Language Understanding in the Legal domain.

Previously, as a Senior Principal Data Scientist for Honeywell, Tonya developed machine-learned predictive models to improve voice-controlled and other IoT and aerospace products. Her work as a Senior Machine Learning Scientist for eBay focused on search results ranking, query parsing, inventory prediction, and product classification. As a Research Scientist at Thomson Reuters from 2004-2011, Tonya worked on many NLP and machine learning projects, including Concept Search and non-English stemming & decompounding in 8 languages. From 2007 to 2016, while not working, she played competitive roller derby.

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